Lubin B, Van Whitlock R, Zuckerman M
University of Missouri at Kansas City, USA.
Assessment. 1998 Dec;5(4):309-19. doi: 10.1177/107319119800500401.
A study of 185 psychiatric patients with anxiety, mood, and schizophrenic disorders and 185 matched nonpatient controls investigated the effectiveness of the affect trait scales of the revised Multiple Affect Adjective Check List (MAACL-R) in differentiating the three disorders. Univariate and multivariate analyses supported the usefulness of the affect in global and specific diagnostic classifications. The strongest discriminant function described a general dysphoria dimension (Depression plus Anxiety minus Positive Affect) which differentiated the anxiety and mood disorder groups from schizophrenic patients and nonpatient controls. A second discriminant function best differentiated the anxiety from mood disorder groups and was defined by relatively higher anxiety and normal sensation seeking scores among anxiety disorders and relatively higher depression and lower sensation seeking among mood disorders. Schizophrenic disorders could not be reliably distinguished from the other groups by negative affect scales, although they scored lower on positive affect than normals. It was concluded that the MAACL-R was valid in making both global and specific diagnostic classifications.
一项针对185名患有焦虑、情绪和精神分裂症障碍的精神病患者以及185名匹配的非患者对照的研究，调查了修订后的多重情感形容词检查表（MAACL-R）的情感特质量表在区分这三种障碍方面的有效性。单变量和多变量分析支持了情感在整体和特定诊断分类中的有用性。最强的判别函数描述了一个一般烦躁维度（抑郁加焦虑减去积极情感），该维度将焦虑和情绪障碍组与精神分裂症患者及非患者对照区分开来。第二个判别函数最能区分焦虑和情绪障碍组，其定义为焦虑障碍组中相对较高的焦虑和正常的感觉寻求分数，以及情绪障碍组中相对较高的抑郁和较低的感觉寻求分数。尽管精神分裂症障碍患者在积极情感方面的得分低于正常人，但通过消极情感量表无法可靠地将其与其他组区分开来。研究得出结论，MAACL-R在进行整体和特定诊断分类方面是有效的。
